Automatic driving method and system capable of recognizing road conditions and vehicle

An automatic driving and vehicle technology, applied in the field of systems and vehicles, and automatic driving methods, can solve problems such as vehicle bumps, affecting occupant comfort, and increased suspension wear, so as to achieve the effect of improving comfort and reducing vehicle failures

Pending Publication Date: 2022-04-01
WUHAN LOTUS CARS CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The current automatic driving control system mainly performs longitudinal control on vehicles in front, pedestrians and other traffic participants and obstacles with collision risk, but some low obstacles on the road without collision risk (such as: speed bumps, potholes) and bumpy roads, etc. The goal is not in the current longitudinal c

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic driving method and system capable of recognizing road conditions and vehicle
  • Automatic driving method and system capable of recognizing road conditions and vehicle
  • Automatic driving method and system capable of recognizing road conditions and vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] figure 1 is a control flowchart of an automatic driving method according to an embodiment of the present invention. In one embodiment, such as figure 1 shown. An automatic driving method capable of recognizing road conditions, mainly comprising the following steps:

[0035] S1. Divide the road surface in front of the vehicle into fixed areas, and divide the road surface ahead into n large areas according to the equidistance division method;

[0036] S2. Carry out further grid subdivision for each large area, and divide each large area into j gridded square areas according to equidistant form;

[0037] S3. Collect the road surface roughness data in each small grid through the vehicle detection module, and calculate the collected data, so as to obtain the roughness information of the grid;

[0038] S4. Calculate the roughness information of all grids in the large area by determining the influence weight of each grid according to the positional relationship between eac...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an automatic driving method capable of recognizing road conditions, and belongs to the field of automatic driving. The automatic driving method is characterized by comprising the following steps: carrying out region division on a road surface in front of a vehicle, and carrying out gridding subdivision on each region; calculating the unevenness of the road surface in the grid units subjected to the gridding subdivision in each area; according to the influence degree weight of each region, the average height variance in the region and the road surface unevenness of the region, determining the road surface unevenness of the region; the vehicle speed corresponding to the road surface unevenness of each area is determined according to the road surface unevenness of each area; and controlling the vehicle to pass through the corresponding area in front of the vehicle according to the corresponding speed. According to the method, the road in front of the vehicle is subjected to region division, then each region is subjected to gridding subdivision, and the road surface unevenness of each grid is calculated, so that road surface unevenness information in the region is obtained, and the vehicle is controlled to pass through the front region at the most appropriate speed.

Description

technical field [0001] The invention relates to the field of automatic driving of automobiles, in particular to an automatic driving method, system and vehicle capable of recognizing road conditions. Background technique [0002] The current automatic driving control system mainly performs longitudinal control on vehicles in front, pedestrians and other traffic participants and obstacles with collision risk, but some low obstacles on the road without collision risk (such as: speed bumps, potholes) and bumpy roads, etc. The goal is not in the current longitudinal control category of automatic driving. When the automatic driving system passes the above-mentioned obstacles at high speed, because the system does not control the above-mentioned obstacles, the self-vehicle will experience large bumps, which will affect the comfort of the passengers and may cause Tires, increased suspension wear and other failures. Contents of the invention [0003] An object of the present inve...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B60W60/00B60W40/06
CPCG05D1/02B60W40/06B60W60/00
Inventor 王智锰
Owner WUHAN LOTUS CARS CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap